Expert system, fuzzy logic, and neural network applications in power electronics and motion control

Author

Bose, Bimal K.

Author_Institution

Dept. of Electr. Eng., Tennessee Univ., Knoxville, TN, USA

Volume

82

Issue

8

fYear

1994

fDate

8/1/1994 12:00:00 AM

Firstpage

1303

Lastpage

1323

Abstract

Artificial intelligence (AI) tools, such as expert systems, fuzzy logic, and neural networks are expected to usher a new era in power electronics and motion control in the coming decades. Although these technologies have advanced significantly and have found wide applications, they have hardly touched the power electronics and machine drives area. The paper describes these AI tools and their application in the area of power electronics and motion control. The body of the paper is subdivided into three sections which describe, respectively, the principles and applications of expert systems, fuzzy logic, and neural networks. The theoretical portion of each topic is of direct relevance to the application of power electronics. The example applications in the paper are taken from the published literature

Keywords

control engineering computing; electronic engineering computing; expert systems; fuzzy logic; neural nets; position control; power electronics; artificial intelligence tools; expert system applications; fuzzy logic applications; motion control; neural network applications; power electronics; Artificial intelligence; Artificial neural networks; Biological neural networks; Expert systems; Fuzzy logic; Humans; Intelligent networks; Motion control; Neural networks; Power electronics;

fLanguage

English

Journal_Title

Proceedings of the IEEE

Publisher

ieee

ISSN

0018-9219

Type

jour

DOI

10.1109/5.301690

Filename

301690